Dell Inc. Dell G16 7630
Geekbench AI Score
2795
Single Precision Score
4034
Half Precision Score
6313
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | July 13 2025 03:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0V4JDG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.7 IPS |
|
|
Image Classification (Q)
|
99% |
4278
797.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4121
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4966
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3270
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13451
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.4 IPS |
|
|
Object Detection (HP)
|
98% |
2484
197.7 IPS |
|
|
Object Detection (Q)
|
90% |
4556
364.3 IPS |
|
|
Face Detection (SP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
8111
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
11099
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8824
68.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11985
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11678
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18200
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30772
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3422
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6999
259.2 IPS |
|
|
Text Classification (SP)
|
71% |
1210
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1464
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1870
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1836
31.6 IPS |
